Lead Data Engineer

Responsibilities

• Lead the design, development, and support of party reference data applications, APIs, and data services.
• Partner with business stakeholders, architects, and engineering teams to deliver reference data solutions supporting client, counter party, issuer, and legal entity domains.
• Develop and maintain cloud-native data pipelines utilizing AWS services such as Glue, Lambda, Event Bridge, S3, RDS, and Kafka/MSK.
• Support the modernization of legacy reference data platforms through migration to scalable cloud-based solutions.
• Integrate third‑party reference data sources including Dun & Bradstreet, S&P Global, and other data providers to support enrichment, validation, and compliance requirements.
• Develop and support APIs and data services consumed by CRM, compliance, reporting, operations, and trading platforms.
• Implement data quality controls, validation rules, matching and deduplication processes, survivorship logic, and lineage tracking capabilities.
• Collaborate with data governance and architecture teams to support reference data standards, metadata management, and best practices.
• Participate in Agile planning, backlog refinement, estimation, sprint execution, and delivery activities using Jira.
• Provide technical leadership and mentorship to junior engineers and project team members.

• Minimum of 7 years of experience in data engineering, software engineering, cloud engineering, or related technical disciplines.
• Minimum of 2 years of experience serving as a technical lead, project lead, or people leader.
• Experience developing and supporting cloud-native applications, APIs, and data platforms.
• Experience developing event‑driven architectures, data pipelines, and distributed data services.
• Bachelor’s degree in Computer Science, Information Technology, Engineering, Mathematics, or a related technical field (or equivalent combination of education and relevant work experience).

Demonstrates expertise in designing and developing cloud‑native data applications and APIs, with a strong focus on data quality, governance, and integration of third‑party data sources. Proven ability to lead technical teams and collaborate with stakeholders to deliver scalable reference data solutions.